Dataset statistics
| Number of variables | 8 |
|---|---|
| Number of observations | 284 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 10 |
| Duplicate rows (%) | 3.5% |
| Total size in memory | 17.9 KiB |
| Average record size in memory | 64.5 B |
Variable types
| Numeric | 8 |
|---|
| Dataset has 10 (3.5%) duplicate rows | Duplicates |
Cement is highly overall correlated with Blast Furnace Slag _component_2 and 5 other fields | High correlation |
Blast Furnace Slag _component_2 is highly overall correlated with Cement and 5 other fields | High correlation |
Fly Ash _component_3 is highly overall correlated with Cement and 5 other fields | High correlation |
Water_component_4 is highly overall correlated with Cement and 5 other fields | High correlation |
Superplasticizer_component_5 is highly overall correlated with Cement and 5 other fields | High correlation |
Coarse Aggregate_component_6 is highly overall correlated with Cement and 5 other fields | High correlation |
Fine Aggregate_component_7 is highly overall correlated with Cement and 5 other fields | High correlation |
Age_day is highly overall correlated with Water_component_4 | High correlation |
Blast Furnace Slag _component_2 has 105 (37.0%) zeros | Zeros |
Fly Ash _component_3 has 184 (64.8%) zeros | Zeros |
Superplasticizer_component_5 has 68 (23.9%) zeros | Zeros |
Reproduction
| Analysis started | 2023-03-02 18:01:50.477320 |
|---|---|
| Analysis finished | 2023-03-02 18:02:00.846137 |
| Duration | 10.37 seconds |
| Software version | pandas-profiling vv3.5.0 |
| Download configuration | config.json |
Cement
Real number (ℝ)
| Distinct | 50 |
|---|---|
| Distinct (%) | 17.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 310.30106 |
| Minimum | 139.6 |
|---|---|
| Maximum | 540 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.3 KiB |
Quantile statistics
| Minimum | 139.6 |
|---|---|
| 5-th percentile | 168 |
| Q1 | 213.8 |
| median | 313.3 |
| Q3 | 380 |
| 95-th percentile | 475 |
| Maximum | 540 |
| Range | 400.4 |
| Interquartile range (IQR) | 166.2 |
Descriptive statistics
| Standard deviation | 99.981125 |
|---|---|
| Coefficient of variation (CV) | 0.32220685 |
| Kurtosis | -1.0229998 |
| Mean | 310.30106 |
| Median Absolute Deviation (MAD) | 83.45 |
| Skewness | 0.25877377 |
| Sum | 88125.5 |
| Variance | 9996.2254 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 362.6 | 20 | 7.0% |
| 425 | 20 | 7.0% |
| 475 | 11 | 3.9% |
| 251.4 | 10 | 3.5% |
| 380 | 10 | 3.5% |
| 139.6 | 6 | 2.1% |
| 237.5 | 6 | 2.1% |
| 332.5 | 6 | 2.1% |
| 198.6 | 6 | 2.1% |
| 427.5 | 6 | 2.1% |
| Other values (40) | 183 |
| Value | Count | Frequency (%) |
| 139.6 | 6 | |
| 166.1 | 5 | |
| 168 | 5 | |
| 190 | 5 | |
| 190.3 | 5 | |
| 190.7 | 5 | |
| 194.7 | 5 | |
| 198.6 | 6 | |
| 212 | 5 | |
| 212.1 | 5 |
| Value | Count | Frequency (%) |
| 540 | 2 | 0.7% |
| 531.3 | 5 | 1.8% |
| 485 | 1 | 0.4% |
| 475 | 11 | |
| 469 | 5 | 1.8% |
| 439 | 5 | 1.8% |
| 427.5 | 6 | 2.1% |
| 425 | 20 | |
| 401.8 | 5 | 1.8% |
| 389.9 | 5 | 1.8% |
| Distinct | 27 |
|---|---|
| Distinct (%) | 9.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 91.301056 |
| Minimum | 0 |
|---|---|
| Maximum | 282.8 |
| Zeros | 105 |
| Zeros (%) | 37.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 97.1 |
| Q3 | 180 |
| 95-th percentile | 233.75 |
| Maximum | 282.8 |
| Range | 282.8 |
| Interquartile range (IQR) | 180 |
Descriptive statistics
| Standard deviation | 84.654521 |
|---|---|
| Coefficient of variation (CV) | 0.92720199 |
| Kurtosis | -1.1486138 |
| Mean | 91.301056 |
| Median Absolute Deviation (MAD) | 92.1 |
| Skewness | 0.34472113 |
| Sum | 25929.5 |
| Variance | 7166.3879 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=27)
| Value | Count | Frequency (%) |
| 0 | 105 | |
| 189 | 30 | 10.6% |
| 106.3 | 20 | 7.0% |
| 98.1 | 10 | 3.5% |
| 47.5 | 6 | 2.1% |
| 209.4 | 6 | 2.1% |
| 237.5 | 6 | 2.1% |
| 132.4 | 6 | 2.1% |
| 142.5 | 6 | 2.1% |
| 95 | 6 | 2.1% |
| Other values (17) | 83 |
| Value | Count | Frequency (%) |
| 0 | 105 | |
| 38 | 4 | 1.4% |
| 42.1 | 5 | 1.8% |
| 47.5 | 6 | 2.1% |
| 76 | 5 | 1.8% |
| 93.8 | 5 | 1.8% |
| 94.7 | 5 | 1.8% |
| 95 | 6 | 2.1% |
| 97.1 | 5 | 1.8% |
| 98.1 | 10 | 3.5% |
| Value | Count | Frequency (%) |
| 282.8 | 4 | 1.4% |
| 262.2 | 5 | 1.8% |
| 237.5 | 6 | 2.1% |
| 212.5 | 5 | 1.8% |
| 209.4 | 6 | 2.1% |
| 200.9 | 5 | 1.8% |
| 190 | 5 | 1.8% |
| 189.2 | 5 | 1.8% |
| 189 | 30 | |
| 177 | 5 | 1.8% |
| Distinct | 16 |
|---|---|
| Distinct (%) | 5.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 37.855634 |
| Minimum | 0 |
|---|---|
| Maximum | 163.8 |
| Zeros | 184 |
| Zeros (%) | 64.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 96.7 |
| 95-th percentile | 125.37 |
| Maximum | 163.8 |
| Range | 163.8 |
| Interquartile range (IQR) | 96.7 |
Descriptive statistics
| Standard deviation | 55.186615 |
|---|---|
| Coefficient of variation (CV) | 1.4578178 |
| Kurtosis | -0.88374247 |
| Mean | 37.855634 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 0.92242749 |
| Sum | 10751 |
| Variance | 3045.5625 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=16)
| Value | Count | Frequency (%) |
| 0 | 184 | |
| 118.3 | 15 | 5.3% |
| 121.6 | 10 | 3.5% |
| 24.5 | 10 | 3.5% |
| 100.4 | 10 | 3.5% |
| 96.7 | 5 | 1.8% |
| 94.6 | 5 | 1.8% |
| 100.5 | 5 | 1.8% |
| 125.4 | 5 | 1.8% |
| 125.2 | 5 | 1.8% |
| Other values (6) | 30 | 10.6% |
| Value | Count | Frequency (%) |
| 0 | 184 | |
| 24.5 | 10 | 3.5% |
| 94.1 | 5 | 1.8% |
| 94.6 | 5 | 1.8% |
| 95.7 | 5 | 1.8% |
| 96.7 | 5 | 1.8% |
| 100.4 | 10 | 3.5% |
| 100.5 | 5 | 1.8% |
| 118.2 | 5 | 1.8% |
| 118.3 | 15 | 5.3% |
| Value | Count | Frequency (%) |
| 163.8 | 5 | 1.8% |
| 163.3 | 5 | 1.8% |
| 125.4 | 5 | 1.8% |
| 125.2 | 5 | 1.8% |
| 124.8 | 5 | 1.8% |
| 121.6 | 10 | |
| 118.3 | 15 | |
| 118.2 | 5 | 1.8% |
| 100.5 | 5 | 1.8% |
| 100.4 | 10 |
Water_component_4
Real number (ℝ)
| Distinct | 40 |
|---|---|
| Distinct (%) | 14.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 179.19965 |
| Minimum | 121.8 |
|---|---|
| Maximum | 228 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.3 KiB |
Quantile statistics
| Minimum | 121.8 |
|---|---|
| 5-th percentile | 138.4 |
| Q1 | 158.725 |
| median | 175.5 |
| Q3 | 192 |
| 95-th percentile | 228 |
| Maximum | 228 |
| Range | 106.2 |
| Interquartile range (IQR) | 33.275 |
Descriptive statistics
| Standard deviation | 28.882649 |
|---|---|
| Coefficient of variation (CV) | 0.16117581 |
| Kurtosis | -0.65859819 |
| Mean | 179.19965 |
| Median Absolute Deviation (MAD) | 16.5 |
| Skewness | 0.38313739 |
| Sum | 50892.7 |
| Variance | 834.20739 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=40)
| Value | Count | Frequency (%) |
| 228 | 53 | 18.7% |
| 164.9 | 20 | 7.0% |
| 153.5 | 15 | 5.3% |
| 192 | 14 | 4.9% |
| 188.5 | 10 | 3.5% |
| 181.7 | 10 | 3.5% |
| 159.4 | 5 | 1.8% |
| 159.3 | 5 | 1.8% |
| 187.4 | 5 | 1.8% |
| 186.7 | 5 | 1.8% |
| Other values (30) | 142 |
| Value | Count | Frequency (%) |
| 121.8 | 5 | 1.8% |
| 126.6 | 5 | 1.8% |
| 137.8 | 5 | 1.8% |
| 141.8 | 5 | 1.8% |
| 144.7 | 5 | 1.8% |
| 145.9 | 5 | 1.8% |
| 146 | 1 | 0.4% |
| 147.4 | 5 | 1.8% |
| 151.4 | 5 | 1.8% |
| 153.5 | 15 |
| Value | Count | Frequency (%) |
| 228 | 53 | |
| 197.9 | 5 | 1.8% |
| 195.5 | 5 | 1.8% |
| 195.2 | 5 | 1.8% |
| 192 | 14 | 4.9% |
| 189.3 | 5 | 1.8% |
| 188.5 | 10 | 3.5% |
| 187.4 | 5 | 1.8% |
| 186.7 | 5 | 1.8% |
| 186 | 5 | 1.8% |
| Distinct | 35 |
|---|---|
| Distinct (%) | 12.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 8.3704225 |
| Minimum | 0 |
|---|---|
| Maximum | 32.2 |
| Zeros | 68 |
| Zeros (%) | 23.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 4.5 |
| median | 7.5 |
| Q3 | 11.6 |
| 95-th percentile | 23.19 |
| Maximum | 32.2 |
| Range | 32.2 |
| Interquartile range (IQR) | 7.1 |
Descriptive statistics
| Standard deviation | 7.2024219 |
|---|---|
| Coefficient of variation (CV) | 0.86046098 |
| Kurtosis | 1.3963984 |
| Mean | 8.3704225 |
| Median Absolute Deviation (MAD) | 4.1 |
| Skewness | 1.0696682 |
| Sum | 2377.2 |
| Variance | 51.874882 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=35)
| Value | Count | Frequency (%) |
| 0 | 68 | |
| 11.6 | 20 | 7.0% |
| 16.5 | 15 | 5.3% |
| 6.7 | 10 | 3.5% |
| 5.7 | 10 | 3.5% |
| 4.6 | 10 | 3.5% |
| 7.8 | 10 | 3.5% |
| 4.5 | 10 | 3.5% |
| 6.1 | 5 | 1.8% |
| 9.5 | 5 | 1.8% |
| Other values (25) | 121 |
| Value | Count | Frequency (%) |
| 0 | 68 | |
| 2.5 | 2 | 0.7% |
| 4.5 | 10 | 3.5% |
| 4.6 | 10 | 3.5% |
| 5.5 | 5 | 1.8% |
| 5.7 | 10 | 3.5% |
| 5.8 | 5 | 1.8% |
| 6.1 | 5 | 1.8% |
| 6.4 | 5 | 1.8% |
| 6.7 | 10 | 3.5% |
| Value | Count | Frequency (%) |
| 32.2 | 5 | 1.8% |
| 28.2 | 5 | 1.8% |
| 23.4 | 5 | 1.8% |
| 22 | 5 | 1.8% |
| 18.6 | 5 | 1.8% |
| 16.5 | 15 | |
| 15.9 | 5 | 1.8% |
| 14.3 | 5 | 1.8% |
| 12.1 | 5 | 1.8% |
| 11.6 | 20 |
Coarse Aggregate_component_6
Real number (ℝ)
| Distinct | 36 |
|---|---|
| Distinct (%) | 12.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 966.67148 |
| Minimum | 852.1 |
|---|---|
| Maximum | 1134.3 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.3 KiB |
Quantile statistics
| Minimum | 852.1 |
|---|---|
| 5-th percentile | 852.1 |
| Q1 | 932 |
| median | 944.7 |
| Q3 | 1028.4 |
| 95-th percentile | 1088.1 |
| Maximum | 1134.3 |
| Range | 282.2 |
| Interquartile range (IQR) | 96.4 |
Descriptive statistics
| Standard deviation | 74.500208 |
|---|---|
| Coefficient of variation (CV) | 0.077068797 |
| Kurtosis | -0.79422454 |
| Mean | 966.67148 |
| Median Absolute Deviation (MAD) | 59.9 |
| Skewness | 0.15870041 |
| Sum | 274534.7 |
| Variance | 5550.281 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=36)
| Value | Count | Frequency (%) |
| 932 | 53 | |
| 852.1 | 45 | 15.8% |
| 944.7 | 30 | 10.6% |
| 1028.4 | 10 | 3.5% |
| 1047 | 7 | 2.5% |
| 978.4 | 6 | 2.1% |
| 1088.1 | 5 | 1.8% |
| 1058.6 | 5 | 1.8% |
| 1058.7 | 5 | 1.8% |
| 1065.8 | 5 | 1.8% |
| Other values (26) | 113 |
| Value | Count | Frequency (%) |
| 852.1 | 45 | |
| 884.9 | 5 | 1.8% |
| 926.1 | 5 | 1.8% |
| 932 | 53 | |
| 936 | 5 | 1.8% |
| 942.7 | 4 | 1.4% |
| 944.7 | 30 | |
| 946.8 | 5 | 1.8% |
| 947 | 5 | 1.8% |
| 949.9 | 5 | 1.8% |
| Value | Count | Frequency (%) |
| 1134.3 | 5 | |
| 1120 | 1 | 0.4% |
| 1090 | 5 | |
| 1088.1 | 5 | |
| 1085.4 | 5 | |
| 1066 | 5 | |
| 1065.8 | 5 | |
| 1058.7 | 5 | |
| 1058.6 | 5 | |
| 1057.6 | 5 |
Fine Aggregate_component_7
Real number (ℝ)
| Distinct | 40 |
|---|---|
| Distinct (%) | 14.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 771.42077 |
| Minimum | 594 |
|---|---|
| Maximum | 992.6 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.3 KiB |
Quantile statistics
| Minimum | 594 |
|---|---|
| 5-th percentile | 594 |
| Q1 | 707.9 |
| median | 780.1 |
| Q3 | 847.9 |
| 95-th percentile | 905.585 |
| Maximum | 992.6 |
| Range | 398.6 |
| Interquartile range (IQR) | 140 |
Descriptive statistics
| Standard deviation | 99.102353 |
|---|---|
| Coefficient of variation (CV) | 0.12846731 |
| Kurtosis | -0.57195314 |
| Mean | 771.42077 |
| Median Absolute Deviation (MAD) | 72 |
| Skewness | -0.28134921 |
| Sum | 219083.5 |
| Variance | 9821.2763 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=40)
| Value | Count | Frequency (%) |
| 594 | 30 | 10.6% |
| 755.8 | 30 | 10.6% |
| 670 | 23 | 8.1% |
| 887.1 | 15 | 5.3% |
| 757.7 | 10 | 3.5% |
| 803.7 | 10 | 3.5% |
| 780.1 | 10 | 3.5% |
| 806.9 | 7 | 2.5% |
| 825.5 | 6 | 2.1% |
| 785.5 | 5 | 1.8% |
| Other values (30) | 138 |
| Value | Count | Frequency (%) |
| 594 | 30 | |
| 605 | 5 | 1.8% |
| 611.8 | 5 | 1.8% |
| 659.9 | 4 | 1.4% |
| 670 | 23 | |
| 676 | 2 | 0.7% |
| 707.9 | 5 | 1.8% |
| 755.8 | 30 | |
| 756.7 | 5 | 1.8% |
| 757.6 | 5 | 1.8% |
| Value | Count | Frequency (%) |
| 992.6 | 5 | 1.8% |
| 925.7 | 5 | 1.8% |
| 905.9 | 5 | 1.8% |
| 903.8 | 5 | 1.8% |
| 903.6 | 5 | 1.8% |
| 893.7 | 5 | 1.8% |
| 887.1 | 15 | |
| 880.4 | 5 | 1.8% |
| 870.3 | 5 | 1.8% |
| 861.2 | 5 | 1.8% |
Age_day
Real number (ℝ)
| Distinct | 12 |
|---|---|
| Distinct (%) | 4.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 66.616197 |
| Minimum | 3 |
|---|---|
| Maximum | 365 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 2.3 KiB |
Quantile statistics
| Minimum | 3 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 7 |
| median | 28 |
| Q3 | 91 |
| 95-th percentile | 270 |
| Maximum | 365 |
| Range | 362 |
| Interquartile range (IQR) | 84 |
Descriptive statistics
| Standard deviation | 86.406165 |
|---|---|
| Coefficient of variation (CV) | 1.2970744 |
| Kurtosis | 4.3911288 |
| Mean | 66.616197 |
| Median Absolute Deviation (MAD) | 25 |
| Skewness | 2.1753938 |
| Sum | 18919 |
| Variance | 7466.0253 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 28 | 56 | |
| 3 | 47 | |
| 56 | 43 | |
| 7 | 30 | |
| 91 | 22 | 7.7% |
| 14 | 20 | 7.0% |
| 100 | 20 | 7.0% |
| 90 | 12 | 4.2% |
| 180 | 12 | 4.2% |
| 270 | 10 | 3.5% |
| Other values (2) | 12 | 4.2% |
| Value | Count | Frequency (%) |
| 3 | 47 | |
| 7 | 30 | |
| 14 | 20 | 7.0% |
| 28 | 56 | |
| 56 | 43 | |
| 90 | 12 | 4.2% |
| 91 | 22 | 7.7% |
| 100 | 20 | 7.0% |
| 180 | 12 | 4.2% |
| 270 | 10 | 3.5% |
| Value | Count | Frequency (%) |
| 365 | 10 | 3.5% |
| 360 | 2 | 0.7% |
| 270 | 10 | 3.5% |
| 180 | 12 | 4.2% |
| 100 | 20 | 7.0% |
| 91 | 22 | 7.7% |
| 90 | 12 | 4.2% |
| 56 | 43 | |
| 28 | 56 | |
| 14 | 20 | 7.0% |
Auto
The auto setting is an interpretable pairwise column metric of the following mapping:- Variable_type-Variable_type : Method, Range
- Categorical-Categorical : Cramer's V, [0,1]
- Numerical-Categorical : Cramer's V, [0,1] (using a discretized numerical column)
- Numerical-Numerical : Spearman's ρ, [-1,1]
This configuration uses the recommended metric for each pair of columns.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| Cement | Blast Furnace Slag _component_2 | Fly Ash _component_3 | Water_component_4 | Superplasticizer_component_5 | Coarse Aggregate_component_6 | Fine Aggregate_component_7 | Age_day | |
|---|---|---|---|---|---|---|---|---|
| 0 | 540.0 | 0.0 | 0.0 | 162.0 | 2.5 | 1040.0 | 676.0 | 28 |
| 1 | 540.0 | 0.0 | 0.0 | 162.0 | 2.5 | 1055.0 | 676.0 | 28 |
| 2 | 332.5 | 142.5 | 0.0 | 228.0 | 0.0 | 932.0 | 594.0 | 270 |
| 3 | 332.5 | 142.5 | 0.0 | 228.0 | 0.0 | 932.0 | 594.0 | 365 |
| 4 | 198.6 | 132.4 | 0.0 | 192.0 | 0.0 | 978.4 | 825.5 | 360 |
| 5 | 266.0 | 114.0 | 0.0 | 228.0 | 0.0 | 932.0 | 670.0 | 90 |
| 6 | 380.0 | 95.0 | 0.0 | 228.0 | 0.0 | 932.0 | 594.0 | 365 |
| 7 | 380.0 | 95.0 | 0.0 | 228.0 | 0.0 | 932.0 | 594.0 | 28 |
| 8 | 266.0 | 114.0 | 0.0 | 228.0 | 0.0 | 932.0 | 670.0 | 28 |
| 9 | 475.0 | 0.0 | 0.0 | 228.0 | 0.0 | 932.0 | 594.0 | 28 |
| Cement | Blast Furnace Slag _component_2 | Fly Ash _component_3 | Water_component_4 | Superplasticizer_component_5 | Coarse Aggregate_component_6 | Fine Aggregate_component_7 | Age_day | |
|---|---|---|---|---|---|---|---|---|
| 274 | 251.4 | 0.0 | 118.3 | 188.5 | 5.8 | 1028.4 | 757.7 | 3 |
| 275 | 251.4 | 0.0 | 118.3 | 188.5 | 5.8 | 1028.4 | 757.7 | 14 |
| 276 | 251.4 | 0.0 | 118.3 | 188.5 | 5.8 | 1028.4 | 757.7 | 28 |
| 277 | 251.4 | 0.0 | 118.3 | 188.5 | 5.8 | 1028.4 | 757.7 | 56 |
| 278 | 251.4 | 0.0 | 118.3 | 188.5 | 5.8 | 1028.4 | 757.7 | 100 |
| 279 | 251.4 | 0.0 | 118.3 | 188.5 | 6.4 | 1028.4 | 757.7 | 3 |
| 280 | 251.4 | 0.0 | 118.3 | 188.5 | 6.4 | 1028.4 | 757.7 | 14 |
| 281 | 251.4 | 0.0 | 118.3 | 188.5 | 6.4 | 1028.4 | 757.7 | 28 |
| 282 | 251.4 | 0.0 | 118.3 | 188.5 | 6.4 | 1028.4 | 757.7 | 56 |
| 283 | 251.4 | 0.0 | 118.3 | 188.5 | 6.4 | 1028.4 | 757.7 | 100 |
Most frequently occurring
| Cement | Blast Furnace Slag _component_2 | Fly Ash _component_3 | Water_component_4 | Superplasticizer_component_5 | Coarse Aggregate_component_6 | Fine Aggregate_component_7 | Age_day | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | 362.6 | 189.0 | 0.0 | 164.9 | 11.6 | 944.7 | 755.8 | 3 | 4 |
| 1 | 362.6 | 189.0 | 0.0 | 164.9 | 11.6 | 944.7 | 755.8 | 7 | 4 |
| 2 | 362.6 | 189.0 | 0.0 | 164.9 | 11.6 | 944.7 | 755.8 | 28 | 4 |
| 3 | 362.6 | 189.0 | 0.0 | 164.9 | 11.6 | 944.7 | 755.8 | 56 | 4 |
| 4 | 362.6 | 189.0 | 0.0 | 164.9 | 11.6 | 944.7 | 755.8 | 91 | 4 |
| 5 | 425.0 | 106.3 | 0.0 | 153.5 | 16.5 | 852.1 | 887.1 | 3 | 3 |
| 6 | 425.0 | 106.3 | 0.0 | 153.5 | 16.5 | 852.1 | 887.1 | 7 | 3 |
| 7 | 425.0 | 106.3 | 0.0 | 153.5 | 16.5 | 852.1 | 887.1 | 28 | 3 |
| 8 | 425.0 | 106.3 | 0.0 | 153.5 | 16.5 | 852.1 | 887.1 | 56 | 3 |
| 9 | 425.0 | 106.3 | 0.0 | 153.5 | 16.5 | 852.1 | 887.1 | 91 | 3 |